Add to ORKGInternational audienceIn this paper we present the main kernel approaches to the problem of relation extraction from unstructured texts. After a brief introduction to the problem and its characterization as a classication task, we present a survey of the methods and techniques used, and the results obtained. We nally suggest some future lines of work, such as the use of information retrieval techniques and the development of event factuality identication methods
This bachelor's thesis deals with relation extraction. Explains basic knowledge, that is necessary f...
This work describes a problem of relation extraction between named entities on the sentence level, a...
Abstract. In a specific process of business intelligence, i.e. investiga-tion on organised crime, em...
International audienceIn this paper we present the main kernel approaches to the problem of relation...
Abstract. Relation extraction is a part of Information Extraction and an established task in Natural...
The automatic extraction of relations between entities expressed in natural language text is an impo...
This paper explores the use of innovative kernels based on syntactic and semantic structures for a t...
We present an approach for semantic relation extraction between nominals that combines shallow and d...
We present an approach for extracting relations between named entities from natural language documen...
Information Extraction (IE) is the task of automatically extracting structured information from unst...
This paper presents a novel approach to the semi-supervised learning of Information Extraction pat...
Relation extraction from texts is a research topic since the message understanding conferences. Most...
An important step for understanding the semantic content of text is the extraction of semantic relat...
Text analytics in the business domain is a growing field in research and practical applications. We ...
Abstract. This paper proposes a convolution tree kernel-based approach for relation extraction where...
This bachelor's thesis deals with relation extraction. Explains basic knowledge, that is necessary f...
This work describes a problem of relation extraction between named entities on the sentence level, a...
Abstract. In a specific process of business intelligence, i.e. investiga-tion on organised crime, em...
International audienceIn this paper we present the main kernel approaches to the problem of relation...
Abstract. Relation extraction is a part of Information Extraction and an established task in Natural...
The automatic extraction of relations between entities expressed in natural language text is an impo...
This paper explores the use of innovative kernels based on syntactic and semantic structures for a t...
We present an approach for semantic relation extraction between nominals that combines shallow and d...
We present an approach for extracting relations between named entities from natural language documen...
Information Extraction (IE) is the task of automatically extracting structured information from unst...
This paper presents a novel approach to the semi-supervised learning of Information Extraction pat...
Relation extraction from texts is a research topic since the message understanding conferences. Most...
An important step for understanding the semantic content of text is the extraction of semantic relat...
Text analytics in the business domain is a growing field in research and practical applications. We ...
Abstract. This paper proposes a convolution tree kernel-based approach for relation extraction where...
This bachelor's thesis deals with relation extraction. Explains basic knowledge, that is necessary f...
This work describes a problem of relation extraction between named entities on the sentence level, a...
Abstract. In a specific process of business intelligence, i.e. investiga-tion on organised crime, em...